2021
DOI: 10.1016/j.ecoser.2021.101328
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Enriching social media data allows a more robust representation of cultural ecosystem services

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Cited by 30 publications
(20 citation statements)
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“…While the method seems promising, its efficacy for understanding actual preference has been scarcely investigated. Though others have found little spatial autocorrelation between positive and negative images at large scales (Fox et al, 2021a), our results indicate that this may not be the case for all datasets derived from Flickr. To better understand how social media data can elicit information on CES, it is therefore imperative that the relationship between positive and negative posts be further explored.…”
Section: Objective 2: Effect Of Viewshed Methods Land Cover Visibilitycontrasting
confidence: 84%
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“…While the method seems promising, its efficacy for understanding actual preference has been scarcely investigated. Though others have found little spatial autocorrelation between positive and negative images at large scales (Fox et al, 2021a), our results indicate that this may not be the case for all datasets derived from Flickr. To better understand how social media data can elicit information on CES, it is therefore imperative that the relationship between positive and negative posts be further explored.…”
Section: Objective 2: Effect Of Viewshed Methods Land Cover Visibilitycontrasting
confidence: 84%
“…Big data from social media websites offer a unique way to study the complex interactions between geodiversity, biodiversity and people generated in Geoparks CES (Fox et al, 2021a). Here we combined social media data from Flickr with the novel visual magnitude approach to viewshed analysis in order to better understand aesthetic CES in a prime example of a UNESCO Global Geopark.…”
Section: Discussionmentioning
confidence: 99%
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